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Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice in sustainable packaging. We are dedicated to creating efficient and scalable paper and packaging solutions to help solve complex packaging challenges. Guided by our values of safety, loyalty, integrity and respect, we are committed to delivering meaningful value for shareholders, customers, employees and the communities where we operate. DESCRIPTION Primary duties include providing safe and timely electrical support, preventative maintenance, installation, service, repair, troubleshooting and resolution of multiple operating machines within a manufacturing industrial environment. Hourly rate starts at $31.83/HR. How you will impact Smurfit Westrock: • Perform routine and extensive preventative maintenance and repair procedures on electrical and mechanical systems involving production equipment and plant systems including PLCs., • Utilize electrical/mechanical skills to maintain machinery, • Contribute to a collaborative safety culture that drives results Performs duties as assigned, complies with all safety regulations, practices, and follows specific directions. • 2-3+ years of Electrical troubleshooting experience., • Operational knowledge of automated industrial machinery which includes motors, pumps, drives, relays, 3 phase power, communication devices, industrial/electronic controls and power transmission systems., • Understands hydraulic and pneumatic systems, • Ability to install and set up VFDs, • PLC trouble shooting and problem-solving ability with practical, mechanical & electrical aptitude., • Ability to bend conduit and pull electrical wire., • Able to read and interpret both electrical and mechanical drawings, • Working knowledge of encoders and various types of sensors, • Able to install and troubleshoot basic 3 phase motors & control circuits, • Knowledge of the various types of sensors and limit switches, • Ability to read schematics, prints, ladder diagrams, and drawings, • Performs other duties as assigned by the Electrical Supervisor or another member of the leadership team. Education/Experience • High school diploma or equivalent., • Military training and or technical school, • Training/certification in electrical technology/machine control fields, • Preferred 5 years in trouble shooting industrial electrical control systems down to component level, • Ability to work independently, • Ability to work flexible hours and overtime as required, • Standing for extended periods., • Awkward and/or repetitive movements., • Moving or lifting of equipment, materials, and tools up to 50lbs., • Work in buildings and areas of fluctuating temperature and weather., • Balancing, stooping, kneeling, crouching, or movement within confined areas., • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • Competitive benefits including medical, dental, vision, life insurances and 401k. Smurfit Westrock is an Equal Opportunity Employer. We strive to create and maintain a diverse workforce where everyone feels valued, respected, and included. WestRock does not discriminate on the basis of race, color, religion, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other basis protected by federal, state or local law. #SmurfitWestrockJobs Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice in sustainable packaging. We are dedicated to creating efficient and scalable paper and packaging solutions to help solve complex packaging challenges. Guided by our values of safety, loyalty, integrity and respect, we are committed to delivering meaningful value for shareholders, customers, employees and the communities where we operate. DESCRIPTION Primary duties include providing safe and timely mechanical support, preventative maintenance, installation, repair, and troubleshooting within a manufacturing industrial environment. Hourly rate starts at $31.83/HR. How you will impact Smurfit Westrock: • Perform maintenance tasks for equipment within the mill., • Create maintenance requests for repairs based on findings with equipment in the mill., • Performs operational tests to ensure satisfactory installation. Follow general practice in diagnosing/remedying problems., • Routine maintenance inspections following checklist of preventive maintenance schedules and instructions. Investigates breakdowns and determine remedial action as required. Performs duties as assigned, complies with all safety regulations, practices, and follows specific directions. • 2+ years of industrial/manufacturing maintenance experience., • Able to perform mechanical troubleshooting on equipment., • Demonstrate basic welding techniques using a variety of metals for fabricating, attaching, and repairs., • Demonstrate the ability to use mechanical maintenance hand tools properly and safely; such as pipe wrenches, hand drills, levels, and wrenches., • Must be able to read and work with mechanical blueprints, drawings, and sketches., • Must be able to thread and fit piping., • Must be able to perform layout work., • Knowledge on lubrication requirements for industrial equipment., • Demonstrate the ability to use an acetylene torch or plasma cutter., • Basic knowledge of pneumatics and hydraulics., • Skilled at rebuilding rotating equipment, including pumps, gearboxes, etc., • Knowledge and ability to install a variety of bearings/seals on rotating equipment., • Experience inspecting and diagnosing machine/equipment issues., • Experience dealing with basic industrial safety topics such as lockout, fall protection, confined space entry, personal protective equipment, and guarding., • Ability to work independently in a professional manner., • Ability to work multiple shifts with potential overtime hours., • High School Diploma or equivalent., • All other duties as assigned. Physical Demands • Standing for extended periods., • Awkward and/or repetitive movements., • Moving or lifting of equipment, materials, and tools up to 50lbs., • Work in buildings and areas of fluctuating temperature and weather., • Balancing, stooping, kneeling, crouching, or movement within confined areas., • Must be able to enter a confined space or work in high elevated areas. What we offer: • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • Competitive benefits including medical, dental, vision, life insurances and 401k. Smurfit Westrock is an Equal Opportunity Employer. We strive to create and maintain a diverse workforce where everyone feels valued, respected, and included. WestRock does not discriminate on the basis of race, color, religion, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other basis protected by federal, state or local law. #SmurfitWestrockJobs Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice in sustainable packaging. We are dedicated to creating efficient and scalable paper and packaging solutions to help solve complex packaging challenges. Guided by our values of safety, loyalty, integrity and respect, we are committed to delivering meaningful value for shareholders, customers, employees and the communities where we operate. As a Mechatronic Technician, you will support manufacturing operations by ensuring automated machinery and integrated mechanical–electrical systems run reliably, safely, and efficiently. This role combines mechanical, electrical, pneumatic, hydraulic, and basic automation troubleshooting to keep production equipment operating at peak performance. You will perform preventive and emergency maintenance, support equipment upgrades, and partner with engineering and operations to drive improved uptime, performance, and safety across the facility. • Perform preventive maintenance and repairs on automated machinery, conveyors, robotics, and mechanical/electrical systems., • Assist in diagnosing issues involving motors, sensors, relays, pneumatics, hydraulics, and basic PLC faults., • Use diagnostic tools such as multimeters and, with training, VFD interfaces and basic PLC software., • Test equipment after repairs to confirm safe and proper operation., • Assist with PLC fault troubleshooting (Allen‑Bradley, Siemens, etc.) under guidance of senior technicians., • Calibrate sensors, encoders, and other automation components., • Support equipment startups and control system updates., • Participate in root cause analysis with coaching from senior technicians or management., • Assist with installation of new equipment, including routing wiring, mounting components, and connecting automation devices., • Support configuration of VFDs, servo drives, and control panels under supervision., • Read and understand electrical schematics, wiring diagrams, and mechanical drawings., • Maintain accurate maintenance documentation in the CMMS., • Follow all company safety policies and help maintain a clean, organized work environment., • Support operator training on basic troubleshooting and safe machine operation., • Assist with fabrication of brackets, safety guarding, and small mechanical components., • Operate forklifts, manlifts, and scissor lifts (training provided)., • Help maintain spare parts inventory., • High school diploma or GED., • Ability to use basic hand tools and measurement tools., • Basic computer skills, including CMMS and Microsoft Office., • Strong mechanical and electrical troubleshooting aptitude., • Ability to meet the physical demands of the role., • Willingness to work overtime or be on call as needed., • Technical certification in Mechatronics, Industrial Maintenance, Electrical Technology, Automation Technology, or similar field., • Experience reading ladder logic or troubleshooting PLC faults., • Experience configuring VFDs or working with servo systems., • Fabrication or machining experience., • Corporate culture based on integrity, respect, accountability and excellence, • Comprehensive training with numerous learning and development opportunities, • An attractive salary reflecting skills, competencies and potential, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work. #SmurfitWestrockJobs Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

Looking for a freelance opportunity where you can make an impact on technology from the comfort of your home? If you are dynamic, tech-savvy, and always online to learn more, this part-time flexible project is the perfect fit for you! A Day in the Life of a Content Reviewer - US: ● In this role, you’ll be analyzing and providing feedback on texts, pages, images, and other types of information for top search engines, using an online tool ● Through reviewing and rating search results for relevance and quality, you’ll be helping to improve the overall user experience for millions of search engine users, including yourself. Join our team today and start putting your skills to work for one of the world's leading search engines. The estimated hourly earnings for this role are 14 USD per hour. Please note only one member per household can work on this program. If at a later stage it is identified that more than one person in your household is working on the TELUS Digital Rating Program, it will result in removal from the program. TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements ● Working as a freelancer with excellent communication skills in English ● Being a resident in the United States for the last 3 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the US. ● Active use of Gmail and other forms of social media and experience in the use of web browsers to navigate and interact with a variety of content ● Daily access to a broadband internet connection, a smartphone (Android 5.0, iOS 14 or higher), and a personal computer to work on. Assessment In order to be hired into the program, you’ll take a language assessment and an open book qualification exam that will determine your suitability for the position and complete ID verification. Don’t worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, s e x, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

Grow your career as a Python Developer with an innovative global bank in Irving, TX. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week. \n \nJoin one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will have to have open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problems. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you. \n \nContract Duration: 6+ Months \n \nRequired Skills & Experience • Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field or equivalent experience., • 5+ years of experience with developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration., • Must be 100% hands-on with at least 3 years of GenAI projects experience, • Exposure to ML/DL/LLM algorithms, model architectures, and training techniques., • Proficiency in Python and related modules (e.g. numpy, pandas), • Proficiency utilizing LLMs., • Ability to work independently and collaboratively within a team., • Python, GenAI, LangGraph, Java, • Ability to lead and coach junior developers\n \nDesired Skills & Experience • Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL)., • Background in financial business-like banking, risk management., • Design, architect and implement robust Python-based solutions, • Work with global Technology Teams across different time zones, in a hybrid work model, • Adhere to Object-Oriented Programming (OOPS) principle-based development standards, • Mentor and coach junior level developers, • Drive resolutions of variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, • Strong experience with applications programming and ensure application design adheres to the overall architecture blueprint, • Utilize knowledge of system flow and develop standards for coding, testing, debugging, and implementation, • Provide comprehensive in-depth analysis with interpretive thinking to define issues and develop innovative solutions, • Implement Unit Testing and TDD to ensure software quality and maintainability\n

Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: Competitive pay from$30-$50 hourly., • Sign-on bonus: $5,000., • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid___ vacation/holidays, and a 401(K) match., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Test malfunctioning systems and components using electrical and/or mechanical skills., • Maintain legible corporate and personal records of work history., • Provides department support by processing job tickets, and work orders to the necessary department promptly., • Provide support by picking up, delivering, and installing cases., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications:, • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school is a plus!, • Minimum 5+ years of commercial refrigeration experience required., • Experience working on refrigeration equipment in convenience stores or supermarkets is a strong plus., • Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful., • Must have a good driving record and be able to work independently., • Emergency on-call availability is a basic requirement., • Must be able to lift to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on ___ and ___. Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems

Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: $30.00- $40.00 hr. DOE, • Sign-on bonus of $5,000, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Test malfunctioning systems and components using electrical and/or mechanical skills., • Maintain legible corporate and personal records of work history., • Provides department support by processing job tickets, and work orders to the necessary department promptly., • Provide support by picking up, delivering, and installing cases., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications:, • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school is a plus!, • Minimum 5+ years of commercial refrigeration experience required., • Experience working on refrigeration equipment in convenience stores or supermarkets is a strong plus., • Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful., • Must have a good driving record and be able to work independently., • Emergency on-call availability is a basic requirement., • Must be able to lift to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time. Join Us: Today, there are 26 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on ___ and ___. Coolsys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. Coolsys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems

About the Job Role Title: Supply Chain Planning Leader Compensation: Competitive base salary + annual incentive Location: Dallas, TX The Opportunity We’re partnering exclusively with a large, global manufacturing organization to hire a senior leader who will own enterprise planning and demand generation at scale. The business is entering a period of sustained growth and investment, creating a need to fundamentally modernize how demand, supply, inventory, and manufacturing capacity are planned and connected. This is a rare opportunity to step into a highly influential role where planning is treated as a strategic capability, not a back‑office function. You’ll act as the enterprise owner for planning—defining the vision, shaping the systems, and driving execution across a complex, global footprint. If you are motivated by scale, transformation, and real operational impact, this role offers the chance to shape how an entire organization plans, builds, and grows. About the Role The organization is looking for a senior planning leader who can operate across two equally important dimensions. The first is enterprise planning ownership: demand planning, inventory optimization, supply planning enablement, and manufacturing capacity planning. The second is transformation leadership: modernizing planning processes, platforms, data, and ways of working. This is not a purely strategic or people‑management role. You’ll be expected to remain technically fluent, challenge system and architecture decisions, and stay close to execution. You will lead through a “leader of leaders” model while setting the technical and analytical direction for planning across the enterprise. You’ll partner deeply with manufacturing, supply chain, finance, and technology teams to ensure demand signals are actionable, realistic, and aligned with what can actually be produced—both now and as capacity scales over time. What You’ll Be Doing Own end‑to‑end enterprise planning, spanning demand planning, inventory optimization, supply planning, and capacity planning Generate high‑quality demand signals that drive inventory strategy, supply plans, and long‑term manufacturing investment Ensure tight alignment between demand, supply planning, manufacturing operations, and financial plans Define and own the planning technology vision, architecture, and multi‑year roadmap Lead transformation initiatives leveraging modern planning platforms, advanced analytics, automation, and AI/ML capabilities Drive legacy planning system modernization and ERP‑integrated planning transformations Partner closely with manufacturing to support factory start plans, scenario planning, and footprint expansion Interpret large, complex datasets to identify trends and guide enterprise decision‑making Lead change management, communication, training, and adoption efforts across global planning teams Develop and mentor senior leaders, establish consistent processes, and define future skill requirements for the planning organization What They’re Looking For Significant experience leading enterprise‑scale planning or supply chain transformation initiatives Deep expertise across demand planning, supply planning, inventory optimization, and manufacturing capacity planning Proven track record delivering modern planning systems and migrating from legacy platforms Strong technical fluency with planning technologies, analytics, and data‑driven decision frameworks Experience operating in complex, global manufacturing environments Demonstrated success leading managers and senior leaders in distributed, global teams Ability to operate hands‑on while setting long‑term strategic direction Comfortable owning ambiguous, high‑impact problems and seeing them through end‑to‑end Nice to Have Background in highly technical or capital‑intensive manufacturing environments Exposure to advanced analytics, automation, AI, or machine‑learning‑enabled planning Experience supporting large‑scale manufacturing expansion or capacity growth programs Strong change‑management instincts and experience driving adoption at scale

$13 - $13/hourpayVideo CapturingIMU (Inertial Measurement Unit)Attention to DetailAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin. Timeline: Applications close on May 8th at 5 pm PST Job Summary: Join our customers' team as a Data-Video Generalist and play a pivotal role in shaping the future of activity recognition. We are seeking U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models. If you are passionate about robotics, detail-oriented, and thrive on consistent, high-quality output, this opportunity is for you. Key Responsibilities: • Capture precise motion data using your smartphone’s sensor suite (IMU) during specified physical tasks., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Record synchronized video footage to validate and enhance the integrity of collected sensor data., • Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards., • Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration., • Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes., • Ensure timely and reliable delivery of data outputs in accordance with project milestones., • Participate in required device compatibility checks and a custom AI-enabled interview process. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Demonstrated adherence to standardized protocols and rigorous technical instructions., • Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment., • Strong written and verbal communication skills; ability to document work and collaborate remotely., • Experience with mobile devices and a high level of digital literacy., • Physical capability to perform repetitive movement tasks safely and accurately., • Access to a compatible smartphone for high-fidelity sensor and video data collection., • Eligibility to work in designated U.S. states. Compensation is output-based; experts are paid per minute of recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week. Hands-Free Capturing: This project uses a smartphone head strap for video. It’s a nice-to-have if you already own one. If you don't own one, once selected, we will offer you a sign-up bonus to cover the cost of this equipment to secure your readiness to work. We Move Fast: We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application.

Camgian is seeking a Senior Software Engineer who will lead the development of software frameworks and applications through architecture, design, implementation, testing and documentation. The successful candidate will lead or support various project tasks, organize, schedule and task team activities. As a senior engineer you will influence engineering design and software development, supervise other software engineers, and act as a mentor and technical resource. Qualifications * Bachelor’s degree in Computer Science, Software Engineering or Computer Engineering * Proficiency in Java, JavaScript, Python, C++, Golang, SQL, Linux * Experience with UI/UX design and development * Experience in DevOps tools (Jira, Git, Jenkins, Artifactory) * Experience in Software Development Life Cycle Processes and Agile Methodologies * 5+ years of software development experience * United States Citizenship Desired Skills * Master’s degree in Computer Science, Software Engineering or Computer Engineering * Experience in Backend design, development, and integration * Experience in Software architectures, Data frameworks and Security * Understanding of Secure Communications and Message Delivery Tools * Production deployment of Machine Learning (ML) models Responsibilities * Lead software development projects to meet customer/product requirements ensuring high quality through unit, functional, integration, and regression testing * Document architecture, design, test plan and user guide * Deploy software applications to production * Participate in design reviews and present your work to the company * Track project/product milestones and releases ensuring schedule and budget are met * Train & mentor junior engineers, perform architecture, design and code reviews * Lead continuous process and productivity improvements in the team * Engage in professional development activities to enhance your skillset Exceptional work ethic, willingness to learn, tenacity not to quit, aptitude to surpass, and strong desire to work in a fast-paced environment are necessary for success. Collaboration and cross pollination with other teams will be frequent; thus communication, openness, and willingness to share both success and failure is a must. We are a team-centric organization, there are no individuals, we win and lose together. Camgian offers a competitive salary, fun work environment, fringe benefits, and an equity opportunity. Camgian Culture and Core Value Traits * Ability to work as part of a team while maintaining independent thinking * Self-driven and self-starter in addition to excellent communication skills * Thinking outside the box and an aptitude for innovation and problem solving * Always willing to explore the other side of fear, be challenged and to crave cutting edge technologies

We are seeking a Full Stack Software Engineer to join a talented team providing critical mission-related support to a U.S. Government customer. This is a full-time opportunity to work with an award-winning team on AI/ML-driven capabilities within the Intelligence Community (IC). As part of this role, you’ll engage in full-stack web development, taking full ownership of projects through the entire lifecycle. Responsibilities: • Collaborate with ML/AI engineers on building full-stack applications that integrate computer vision models., • Engage with senior stakeholders and customers to enhance user experience and functionality., • Lead ongoing development of the CMO homepage and website, which provides workflow tracking and self-service capabilities for the CMO team., • Active or reinstatable TS/SCI security clearance with Polygraph., • U.S. Citizenship., • Bachelor’s degree in a technical discipline, or 4 additional years of relevant experience in lieu of degree., • 3+ years of full-stack development experience, including:, • Docker, • DevOps and GitLab CI/CD, • Java and Spring Boot, • MongoDB, • JavaScript, React, and/or Material UI for UI development, • Desired experience with machine learning, AWS (especially C2S), Python, Node.js, and Express. Location: Annapolis Junction, MD Salary: $50,000 - $120,000 Benefits: • Medical, dental, and vision coverage (CareFirst) for employees and dependents., • Up to 25 days of paid time off and 40 hours of PTO carryover., • 11 Federal holidays and work-from-home opportunities., • 401K with company contribution, fully vested on Day 1., • Discretionary bonuses for certifications and referrals, annual professional development budget, and sign-on bonuses., • Life and disability insurance, with options for additional voluntary coverage., • Employee Assistance Program, financial planning assistance, and travel protection program., • Additional perks include monthly team/family events, technology and swag budgets, and Global Entry support. Mission Box Technologies is an Equal Opportunity Employer. We value the benefits of diversity in our workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity and expression, national origin, disability, protected Veteran status, or any other attribute or protected characteristic by law. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for potential access to classified information. Accordingly, US Citizenship is required. Our strategic partner is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract of employment and are subject to change at the discretion of our strategic partner.

Background in developing and deploying machine learning solutions in production settings. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure)

The Client Connections team sits at the interface between EnergyHub’s and our utility clients’ software systems. Through our Platform API, we facilitate the ongoing, automated interchange of information with our clients, enabling scalability and valuable product opportunities in the process. As a senior software engineer, you would join a relatively new and growing team with the opportunity to own parts of and contribute to highly visible projects with significant client impact. Working with other engineers, you will design and implement backend services which provide direct client value and/or enable new product capabilities to push virtual power plants forward towards a sustainable climate future. Main Responsibilities: What you’ll do • Help develop and maintain our client-facing REST API., • Help build the under-the-hood backend logic and integrations with other distributed services to abstract away our internal complexities., • Ensure proper security and data protection policies, procedures, and monitoring are in place., • Collaborate with the product team and other engineers to continuously strive towards better product requirements and better software quality., • Collaborate with other teams to both enable new features in our API and help them build on top of the data we make available from utility clients., • Write and maintain technical documentation., • Other duties as assigned. Required Skills and Experience: What you need • 5+ years professional software engineering experience., • Experience with the Java/Spring ecosystem., • Expertise in RESTful web APIs, especially ones targeting external clients., • Strong software design skills., • Familiarity with relational database fundamentals (We mostly use PostgreSQL)., • Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening., • Knowledge of typical development best practices and tools for automated testing, continuous integration/deployment, and monitoring systems (i.e. Github Actions, DataDog, Sentry, Metaplane, etc)., • The ability to work both autonomously and collaboratively as befits the situation. Preferred Skills and Experience: Nice-to-haves • Experience with AWS or other cloud providers., • Experience with microservice architectures and event-driven messaging systems., • Experience with protocol buffers and gRPC communications., • Experience with containerized systems., • Experience with MongoDB. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. Why work for EnergyHub? • Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other., • Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!, • Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business., • Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs., • Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate. About EnergyHub EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. To learn more, visit energyhub.com. Company Benefits EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program. EnergyHub is an Equal Opportunity Employer EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact . In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. Base Salary Range $130,000 - $170,000 USD

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. What You’ll Be Doing As a Senior Software Engineer on the Delivery Platform team, you will design and build highly scalable and robust systems that power our Delivery and Fleet Management platforms. You’ll spend most of your time coding, designing, and reviewing Elixir code, contributing to mission-critical infrastructure that supports our growing fleet of delivery robots. You’ll collaborate closely with other engineers and stakeholders to ensure that our systems meet the demands of scale and innovation in the logistics domain. Responsibilities * Architect & Develop: Design, implement, and maintain distributed systems in Elixir, focusing on scalability, fault tolerance, and performance. * Platform Contributions: Work on the Delivery and Fleet Management platforms, supporting uptime, reliability, and evolving product needs. * Scaling & Performance: Identify bottlenecks, devise solutions, and optimize systems to handle rapid increases in traffic and data volume. * Cross-Functional Collaboration: Work with product managers, operations, and fellow engineers to align solutions with business and user needs. * Engineering Rigor: Contribute to best practices in testing, CI/CD, and development workflows to ensure continuous improvement and delivery. Qualifications * 5+ years of professional experience in software development * Technical Experience: * 2+ years of experience with Elixir or Erlang, ideally in building scalable, distributed systems. * Solid understanding of concurrency, fault tolerance, and event-driven architectures. * Familiarity with cloud services (AWS, GCP) and containerization (Docker, Kubernetes) is a plus. * Team Collaboration: * Experience working on cross-functional teams in agile environments. * Clear communicator comfortable discussing both technical and product-related topics. * Hands-On Engineering: * Strong interest in crafting well-designed, production-grade systems and tools. * A passion for backend development, systems thinking, and performance optimization. What Makes You Stand Out * Deep Curiosity: You have a natural drive to understand complex systems and improve them. * Ownership Mentality: You treat problems as opportunities and take initiative in solving them. * Commitment to Quality: You value code clarity, testing, and building systems that are reliable and resilient. * Team-Oriented: You enjoy working with others, learning from peers, and sharing what you know. * Interest in Logistics: You're intrigued by delivery, robotics, and transportation, and excited by the challenges of real-world logistics platforms.

Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers. Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives outcomes while making healthcare more affordable. Onos recently closed a $6M Seed round with top-tier investors and is already working with some of the nation’s largest health plans, signing its first national plan just months after launch. Come join a category-defining company and help reimagine healthcare for the better. * Meaningful impact: Help fix what is fundamentally broken in healthcare * Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise * Culture: Join a high-performing, transparent, and results-oriented team * Ownership: Significant responsibility and autonomy from day one * Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company We're seeking an experienced and highly capable full-stack product engineer who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll take ownership of developing a significant part of the Onos platform, such as our user-facing application and APIs. As an early team member, you'll be expected to wear multiple hats, including acting as a frontend developer, UI/UX designer, and backend developer. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person at least once a week. * Leading the development for our end-user web application, used by healthcare administrators and providers * Architecting and implementing major platform components to provide actionable insights and recommendations to health plan administrators and support robust workflows related to addressing fraud, waste, and abuse * Prototyping new features and use cases for demos and user feedback * Establish engineering best practices and technical foundations for future team growth and AI-enabled coding * Help shape our technical roadmap, make key architectural decisions, and influence the company's product and design strategy * Develop a flexible and robust UI/UX that supports many types of use cases and data sources related to administrative healthcare workflows and include intelligent, actionable insights. * Implement functionality related related to machine learning pipelines that ingest complex medical standards, analyze medical records and automate recommendations for clinical reviewers * Incorporate human-centric AI user experiences, in which the UI/UX enables users to build trust with the use of AI in our products * Design and implement high quality user experience while upholding high security and privacy standards Tech Stack: * At Onos, we work with a modern tech stack where you'll have the freedom to evaluate and adopt cutting-edge technologies as we scale. * Languages/Frameworks: * Frontend: Typescript, NextJS, Tanstack Query, Shadcn UI, Zod, Nuqs * Backend: Python, Django, django-ninja, django-tenants * Database/Storage: PostgreSQL (AWS RDS), S3 * Infrastructure/Systems: AWS (ECS, Bedrock, Cognito, etc.), Docker, Github Actions * Development Tools: Github, Jira, CoderabbitAI, Tusk * 5+ years professional experience building end-user web applications at product-driven companies * Proficient with web and backend technologies (e.g., React, Python) and relational databases (e.g., PostgreSQL/MySQL) * Customer obsessed and motivated to make an impact in the healthcare space * High user empathy and the ability to develop frontend UI/UX with minimal guidance * A collaborative team player with attention to detail * Significant experience working with healthcare data and with HIPAA best practices * Developed design systems and made frontend codebases maintainable * Played the role of an architect on major full stack software projects * Flexible hybrid arrangement: 1-2 days/week at San Francisco office (financial district), remote-first culture * Unlimited vacation policy * Paid parental leave * Medical, dental, and vision insurance * Pre-tax commuter benefits * 401(k) * Significant equity as an early employee * Ground-floor opportunity to help build a team and culture * Regular team events and offsites * Company-provided equipment and home office setup We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. MLOps), data, and/or software engineer using Python in a production environment.

About the job We are looking for a senior site reliability engineer to join the Cloud FinOps team at Hopper. We manage a large infrastructure in Google Cloud that is used by hundreds of engineers to provide a first class experience to millions of end users around the world. You are passionate about automating everything possible and ensuring systems remain optimized. You also like the infrastructure to be as scalable, reliable, secure, and optimized as possible. You like to solve problems in a practical way, building solutions that are simple, reliable, cost-effective, and easy to use. What would your day-to-day look like * Work on projects that will drive a higher cost efficiency, such as: * Reduce our network egress costs by removing unnecessary headers. * Ensure that our warehouse data is in use and select the most efficient storage for it. E.g., cold storage for buckets with infrequent retrieval. * Ensure that autoscaling for both databases and compute is well optimized. * Work on improving the current cost attribution to ensure all teams have clear visibility into their costs. * You will also participate in providing support to incidents and be part of on-call rotation for platform incidents, as each engineering team has their own on-call rotation (Team is scattered across America and Europe, so you can sleep at night!). You will also contribute to solving doubts and problems engineers might face with our infrastructure and approving PRs that require Platform supervision. * You will be part of a small and highly efficient team of SREs. An ideal candidate has * Strong background in SRE, DevOps, Software Engineering or Systems engineering * Troubleshooting skills * System design with good analytical capabilities * Good communication skills * Knowledge of major cloud providers, preferably Google Cloud * SQL knowledge * Containers, Kubernetes, and related tooling like Kustomize and Helm * Service Mesh, preferably with Istio * Networking knowledge. DNS, TLS, certificates, ingresses, etc. * Observability with log collection, metrics, APM, etc. preferably Datadog * Security knowledge, IAM, RBAC, network security, etc. * Knowledge on authentication and authorization technologies * CI/CD * Database technologies * Competent in scripting with Bash and Python or other scripting languages Perks and Benefits * Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages. * Unlimited PTO. * Carrot Cash travel stipend. * Access to co-working space on demand through FlexDesk AND Work-from-home stipend. * Please ask us about our very generous parental leave, much above industry standards!. * Entrepreneurial culture where pushing limits and taking risks is everyday business. * Open communication with management and company leadership. * Small, dynamic teams = massive impact. * 100% employer paid Medical, Dental and Vision coverage for employees. * Access to Disability & Life insurance. * Health Reimbursement Account (HRA). * DCA/ FSA and access to 401k plan. More about Hopper At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. he Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more. Here are just a few stats that demonstrate the company’s recent growth: Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year. Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business. Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more. Hopper has been named the #1 most innovative company in travel by Fast Company Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers. Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials. Come take off with us! #LI-REMOTE

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. As a Full Stack Engineer on our growing EV team, you will be responsible for developing our backend services while maintaining a high security posture within our growing infrastructure. Working directly with other engineers, you will develop new services/products that EnergyHub is building in the connected EV space, engaging drivers and OEMs on new initiatives that help the proliferation of EVs worldwide. This role is a full-stack role, giving candidates the opportunity to build services, APIs, and front-end user interfaces for drivers and clients to interact with. Main Responsibilities: What you’ll do • Develop and maintain the backend services of our EV platform, ensuring that all components work together seamlessly., • Integrate with third-party APIs to implement external services into our platform, enhancing OEM partners and other external solutions., • Manage ingestion and storage of multivariate data sets that can scale to millions of users/connected vehicles., • Build and enhance data lakes to provide additional data analysis for different services and consumers., • Develop services to interact with connected vehicles at scale., • Develop and maintain front end “web apps” to provide UIs for our various different products and services., • Ensure proper security and data protection policies, procedures, and monitoring are in place., • Design, develop, and maintain third-party accessible APIs for data ingest/egress within the platform., • Write and maintain technical documentation., • Drive and embody the “Dev Owns Quality” culture., • Other duties as assigned Required Skills and Experience: What you need • 5+ years professional software engineering experience, preferably in a small to medium-sized team, with a proven exceptional ability as a FullStack engineer or similar role., • Strong comfortability with Kotlin/Java and familiarity with web services and RESTful APIs using Spring., • Expertise in API ingestion and data normalization processes., • Experience with front end languages, such as React/Typescript., • Experience with containerized systems., • Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening. Preferred Skills and Experience: Nice-to-haves • Experience with AWS or other cloud providers., • Experience with GraphQL., • Typical development tools and processes (automated testing, continuous integration/deployment, monitoring systems), • Experience with Event-Driven systems and data processing pipelines (Kafka, SNS/SQS, Kinesis, S3, etc) Why work for EnergyHub? • Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other., • Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!, • Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business., • Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning challenges, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs., • Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate., • Focus on fun: EnergyHub places high value on our team culture. Happy hours and holiday parties are important to us, but what’s also important is how our employees feel every single day. Company Information EnergyHub is a growing enterprise software company that works with the most forward-thinking companies in smart energy. Our platform lets consumers turn their smart thermostats, electric cars, water heaters, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. We work on technology that already provides energy and cost savings to millions of people through partnerships with the leading companies in the Internet of Things. Company Benefits EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program. EnergyHub is an Equal Opportunity Employer In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. Base Salary Range $130,000 - $170,000 USD

POSITION OVERVIEW The Arnold Companies continues to grow, improve operational execution, and drive innovation across its industries; therefore, it is seeking an experienced, driven Applied AI Architect to lead the practical application of artificial intelligence across the organization. This is a hands-on senior-level role responsible for working directly with executive leadership to identify opportunities, design solutions, and establish a disciplined framework for AI adoption company-wide. The right candidate brings both the strategic mind to translate executive vision into actionable AI roadmaps and the technical depth to build, deploy, and operate those systems. This is not a research or prototyping position. Daily work will move fluidly between executive-level strategy sessions and hands-on development, modeling, and associate training. This is an in-office position at the executive corporate offices located on the edge of Downtown and Uptown Dallas, in the beautiful Crescent Court office building. This role reports directly to the Director of IT and works closely with the C-Suite and executive leadership team. KEY RESPONSIBILITIES AI Strategy & Architecture • Partner with executive leadership to identify high-impact AI use cases across operations, finance, and commercial teams, • Convert executive ideas and business objectives into structured AI roadmaps and executable programs, • Lead the development of company-wide AI standards, governance, and best practices, • Evaluate and implement AI platforms and vendors — including LLMs, automation tools, and internal copilots, • Integrate AI solutions with existing systems and data infrastructure, • Stay current on emerging AI technologies and recommend practical applications for TAC Development, Modeling & Execution • Hands-on design, development, and deployment of AI-driven tools and workflows that improve efficiency and decision-making, • Machine learning model development, training, fine-tuning, and evaluation, • AI model lifecycle management from data sourcing through deployment and ongoing monitoring, • Self-regulate daily work against timelines and roadmaps set by executive leadership Training & Associate Leadership • Educate and guide internal teams across all departments and experience levels on effective and responsible use of AI, • Lead training programs, working sessions, and adoption initiatives for associates company-wide, • Serve as the organizational resource for AI tools — making complex capabilities accessible and actionable at every level QUALIFICATIONS Required • 7+ years of total experience spanning software engineering, data science, ML/AI development, or systems architecture — with meaningful time in the AI/ML space in recent years, • Proven track record of deploying AI solutions in live business environments, not just prototypes, • Deep working knowledge of large language models, AI automation frameworks, and modern ML tooling, • Experience integrating AI into real-world workflows and enterprise data infrastructure, • Ability to communicate clearly with both technical teams and executive leadership — no translation layer required, • Ability to work autonomously while delivering at a high level within a team setting, • Self-starter with a bias toward execution, measurement, and results, • Bachelor's degree or higher Preferred • Experience leading AI initiatives across multiple business lines or departments, • Background in data engineering, systems design, or enterprise architecture, • Familiarity with enterprise environments and change management, • Experience working directly with C-suite or senior leadership on strategic initiatives TAC - The Arnold Companies is a drug-free, equal opportunity employment company. You must be able to pass a drug screening test for employment. BENEFITS • Medical / Vision / Dental, • Paid Time Off, • 401(k) with Match & Profit Sharing, • Career Growth Opportunities, • Team Atmosphere TAC - THE ARNOLD COMPANIES The Arnold Companies is a family-owned, privately held, fast-growing U.S. company with over 60 years of leading innovation across multiple industry categories — petroleum marketing, energy management and logistics, real estate, packaged goods, banking, and aviation. It is a place where leadership is accessible, decisions move fast, and the work you do is visible at every level of the organization. Guided by the principles of discipline and integrity, current leadership delivers exponential growth while inspiring innovation, making TAC one of the leading privately held companies in Texas and the U.S. If you are a builder who thrives at the intersection of strategy and execution, this is your opportunity to shape what AI looks like inside one of Texas's leading privately held companies. APPLY: Submit your resume and a cover letter to: • Please include your notice period/availability, and compensation expectations

We specialize in design and optimization of highly engineered complex products, systems and processes using a proprietary combination of cutting-edge digital twin / digital thread technologies, scientific machine learning (SciML) and High-Performance Compute (HPC). By creating high-fidelity virtual replicas of physical systems and processes, combined with advanced modelling and simulation techniques, we enable real-time performance monitoring, predictive analytics and design optimization—accelerating innovation, reducing costs, and reducing risk. Overview We are seeking a project manager to coordinate the roadmap, planning, and delivery across a growing portfolio of advanced dynamic simulations, data science, and engineering design products. This role will be responsible for aligning engineering, modeling, and platform teams, managing sprint cadences, and ensuring deliverables are met on time and with clarity—particularly in projects that bridge data, simulation, and intelligent systems. Responsibilities: • Own project timelines, milestone planning, sprint execution, and backlog grooming across multiple technical teams, • Coordinate with engineers, data scientists, simulation experts, and platform stakeholders, • Facilitate regular status reviews and unblock cross-functional work, • Translate high-level priorities into task breakdowns and resource plans, • Help document and communicate technical decisions, risks, and design trade-offs Qualifications: • STEM Bachelor's or equivalent industry experience., • 3+ years experience in project/program management (especially technical delivery), • Familiarity with agile workflows, sprint planning, and stakeholder alignment, • Comfort working with technical teams (simulation, data science, design, engineering), • Excellent communication, documentation, and coordination skills, • Ability to use Git for version control, and GitHub for tracking PRs, CI/CD pipelines, automated testing, and deployments., • Experience with Jira and Confluence (or similar tools) strongly preferred., • Bonus: experience in R&D or multi-disciplinary engineering environments, • Bonus: background in product development, especially user experiences

Job Summary Populus Financial Group is seeking a Director of Credit Risk Management, a strategic and analytical leader responsible for shaping and executing Populus Financial Group’s enterprise credit risk strategy across all lending portfolios. This role ensures the company’s credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization’s growth, profitability, and compliance objectives. The Director leads a high-performing team of credit risk professionals and partners closely with Finance, Lending, Marketing, and Technology to ensure balanced, predictive, and profitable lending outcomes. The role combines deep technical expertise in credit risk modeling with strategic vision, innovation, and thought leadership in emerging risk technologies. Major Responsibilities • Develop and execute a strategic roadmap for credit risk management that aligns with corporate strategy, portfolio performance, and risk appetite., • Act as the thought leader for credit risk, guiding model development, policy design, and analytics in line with enterprise goals., • Design, implement, and continuously refine credit policies and decisioning frameworks that are agile, compliant, and performance focused., • Oversee underwriting model governance, including monitoring, validation, recalibration, and drift management to ensure accuracy and portfolio stability., • Champion innovation through AI, machine learning, and alternative data to enhance predictability and credit quality., • Continuously evaluate and optimize credit waterfalls and origination strategies to maximize efficiency, profitability, and controlled risk., • Lead portfolio forecasting, early warning, and stress testing processes to identify vulnerabilities and mitigate emerging risks., • Partner with Finance, Product, and Marketing to align pricing, policy, and acquisition strategies with risk-adjusted profitability goals., • Oversee credit risk aspects of direct mail and acquisition programs, ensuring predictive targeting, compliance, and performance optimization., • Lead the development, testing, and rollout of new underwriting and portfolio management models across products and channels., • Maintain strong model governance frameworks with transparency, version control, and performance accountability., • Identify and integrate new data sources—including behavioral, transactional, and digital identity data—to improve model accuracy and portfolio insights., • Define and monitor key risk indicators (KRIs) and performance metrics to track portfolio and model health., • Provide leadership with strategic insights on credit trends, portfolio health, and emerging risks through analytics and reporting., • Collaborate with Compliance, Legal, and Internal Audit to ensure all credit policies and practices meet regulatory and governance standards., • Lead, mentor, and develop credit risk and data science teams to build capability and a culture of continuous learning and innovation., • Represent Credit Risk in enterprise committees and contribute to company-wide risk and growth strategies., • Partner with Loan Servicing, Collections, Fraud Strategy and Operations to align credit and fraud frameworks, balancing risk mitigation with customer experience., • Integrate fraud indicators and identity data into underwriting models and acquisition strategies., • Monitor emerging fraud trends and lead initiatives to strengthen predictive fraud controls through advanced analytics and real-time data. Key Competencies • Strategic and Analytical Thinking, • Leadership & Talent Development, • AI and Machine Learning Application in Credit Risk, • Portfolio Optimization & Forecasting, • Model Governance and Validation Expertise, • Business Acumen and Financial Literacy, • Cross-Functional Collaboration and Influence, • Change Leadership and Innovation, • Ethical Judgment and Risk Discipline, • Fraud Risk and Identity Management Expertise Minimum Qualifications • Bachelor’s degree in Business, Finance, Economics, Statistics, or related field (Master’s or MBA preferred)., • 7+ years of experience in consumer lending or credit risk management with 3+ years in a leadership capacity., • Proven experience managing underwriting and portfolio risk strategies for large-scale lending businesses., • Strong background in credit modeling, AI/ML integration, and model lifecycle management., • Experience with new data source identification, validation, and integration to improve model predictability., • Demonstrated success developing and managing strategic roadmaps for credit risk organizations., • Deep understanding of regulatory compliance related to credit decisioning and fair lending., • Excellent communication, presentation, and leadership skills with the ability to influence senior executives., • Experience managing or overseeing direct mail and digital marketing acquisition risk programs is a plus. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these responsibilities. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. This position may occasionally require extended hours and weekend work. Work Environment The work environment characteristics described here are representative of those encountered while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. The noise level in some work environments can be moderate. Disclaimer The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EEO Statement Populus Financial Group provides Equal Employment Opportunity (EEOC) to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, compensation, and training.

Job Description P&L responsibility for a business unit Strong orientation to business development in the PBM & Healthcare Developing Go to Market strategy - Demand capture and demand creation Strong relationship building skills Ability to take targets and drive strategic plan to meet the revenue & operational goals Experience in cross-functional solution architecture and development, focused on delivering high-quality IT solutions for health Insurance players In-depth Knowledge of Healthcare Insurance and systems. This includes familiarity with various types of insurance plans (e.g., HMOs, PPOs, Medicare, Medicaid) and their respective requirements. Proficiency in healthcare insurance concepts like member enrollment, claims processing, denial management, care management, medical management and clinical support Understanding of Healthcare Regulations such as HIPAA, ACA, and state-specific insurance regulations. This includes staying updated on regulatory changes and ensuring compliance with industry standards. Stakeholder Management: Strong interpersonal skills and the ability to communicate effectively with internal teams, external partners, and policyholders Ability to address complex challenges and make data-driven decisions to optimize healthcare insurance operations. Experience in responding to RFIs and RFPs Staying updated on industry trends, emerging technologies, and best practices in healthcare insurance Ability to lead and manage large teams Qualifications: Strong fundamentals in Machine learning and deep learning Experience in Orchestrating the development of enterprise Agentic AI platforms and LLM-powered solution Strong PBM domain knowledge. Experience working with enterprise clients in industries such as PBM and healthcare Ability to be the primary liaison between our company and assigned clients, aligning IT capabilities with client business goals Certification in relevant healthcare IT systems (e.g., Epic, Cerner, Meditech) Familiarity with Agile methodologies and project management principles is desirable. Excellent collaboration, influencing, and consensus-building skills. Ability to work with individuals in all job functions (e.g. product, program, developers, etc)

Job Title: Senior Data Architect Location: Dallas, TX or New York City Duration: 03 months+ Notes: Please see the details below regarding the Senior Data Architect position: The preferred location for this role is Dallas, but the team is open to candidates based in New York. The position is hybrid, though we are willing to consider candidates who can come into the office five days a week if needed. They are looking for someone who can align with CST work hours. When reviewing resumes, the team are especially interested in candidates who are motivated and eager to build a long-term career, not just seeking a job or short-term assignments. Strong fundamentals are a must. Ideally, candidates should have at least five years of experience, but there are no strict requirements regarding industry experience. The top three technical or functional requirements for this role are strong SQL and optimization skills, experience with AI tools, and proficiency with Azure Fabric and/or Databricks Contract description: Key Responsibilities: Define data models, partitioning strategies, indexing, and normalization standards. Ensure data integrity, reliability, and maintainability across enterprise systems. Support architectural decisions for high-availability and fault-tolerant systems. Identify and resolve performance bottlenecks in high-volume environments. Implement proactive monitoring and alerting strategies. Improve system reliability and response times for mission-critical workloads. Design stateful and stateless services for data-intensive and distributed workloads. Ensure scalability, fault tolerance, and resilience across cloud environments. Optimize service communication patterns and resource utilization. Build and optimize big data processing workflows on Azure Databricks using Apache Spark. Implement Delta Lake and Delta Tables to support ACID transactions, data versioning, and schema evolution. Enable advanced analytics and machine learning workloads on large-scale data platforms. Ensure data pipelines deliver clean, consistent, and trusted datasets. Optimize data structures for analytical and visualization performance. Support self-service analytics and enterprise reporting initiatives. Provide technical guidance and mentorship to junior engineers. Contribute to engineering best practices, standards, and design reviews. Act as a subject-matter expert for data platform decisions. Qualifications: Advanced SQL expertise, including query optimization and transaction handling. • Strong experience with performance tuning in complex, high-volume systems., • Hands-on experience with Azure Service Fabric, Azure Data Factory, Azure Databricks, and Azure Storage., • Deep knowledge of Apache Spark, Delta Lake, and distributed data processing., • Familiarity with Power BI and data modeling best practices. Preferred: • Experience implementing CI/CD pipelines for data and analytics solutions., • Knowledge of data governance, security, and compliance frameworks., • Exposure to machine learning pipelines and real-time streaming architectures.

FleetPride is seeking a highly analytical, curious, and results-driven marketing data scientist to join our marketing team. In this role, you will help shape marketing and commercial strategy through advanced analytics, machine learning, experimentation, and modern AI-enabled tools. A critical focus of this position is solving the "Online-to-Offline" puzzle by developing sophisticated models to connect digital engagement with physical outcomes across our national network of retail branches and service centers. You will work across a wide range of initiatives, including customer acquisition, retention, segmentation, promotion optimization, forecasting, and marketing effectiveness. The ideal candidate brings strong statistical and technical skills, a practical business mindset, and the ability to translate complex data into actionable recommendations. This role will also help advance FleetPride’s use of modern data science capabilities, including cloud-based modeling, ML workflows, generative AI tools, and privacy-aware measurement. This role focuses on measurement, experimentation, and analytical decision partnership rather than day-to-day media buying or primary ownership of marketing-platform administration. Responsibilities • Experimentation & Measurement: Lead test design and analysis, including A/B testing, market selection, incrementality testing, media mix modeling, holdout design, and final readouts to measure business impact., • Business Partnership: Collaborate closely with marketing, ecommerce, and other digital business stakeholders to solve problems, identify opportunities, and drive data-informed decisions., • Reporting and Analytics: Establish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV, unit economics and contribution metrics across both customer acquisition and retention., • Data & Platform Integration: Partner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/BigQuery and advertising platforms for analysis, measurement, and decision-making., • Predictive & Analytical Modeling: Develop and adapt predictive, statistical, and optimization models to support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance., • AI & Advanced Analytics: Apply modern AI and machine learning techniques, including LLM and generative AI tools where appropriate, to improve analysis, workflow efficiency, insight generation, and decision support., • Data Science Execution: Execute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions., • Insight Communication: Communicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations. Qualifications & experience • 3+ years of relevant professional experience applying advanced analytics or data science to business problems with measurable impact., • Strong knowledge of statistical methods, hypothesis testing, regression analysis, causal inference, forecasting, and experimental design., • Demonstrated ability to independently scope, prioritize, and deliver analytical work with limited day-to-day technical oversight., • Hands-on experience working with large, complex datasets and building predictive models in cloud or distributed computing environments., • Proficiency in Python and SQL for data analysis, modeling, and workflow development., • Experience with cloud-hosted data platforms such as Google Cloud Platform, AWS, or similar environments., • Familiarity with marketing analytics, customer behavior analysis, campaign measurement, customer segmentation, and customer lifecycle concepts., • Comfort collaborating with IT on tracking and data pipelines, including server-side tracking, conversion APIs, and Online-to-Offline measurement., • Experience translating ambiguous business questions into structured analytical plans and practical solutions., • Proven ability to quickly learn and leverage emerging marketing technologies, particularly AI-based measurement and optimization models., • Strong communication skills, with the ability to work cross-functionally and explain technical concepts to business stakeholders., • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field; advanced degree preferred. PREFERRED QUALIFICATIONS • Experience supporting ecommerce, retail, distribution, or other customer-focused commercial organizations., • Experience with marketing measurement, attribution, incrementality testing, media optimization, or promotion analytics., • Experience measuring marketing impact across both digital and offline outcomes, including branch visits, phone calls, and offline revenue., • Experience building reusable analytical workflows and collaborating IT to operationalize high-value outputs., • Familiarity with web tracking, digital analytics, and modern measurement frameworks such as GA4, conversion APIs, or privacy-aware analytics environments., • Experience with AI tools and/or machine learning systems in real-world business settings., • Knowledge of data visualization and BI platforms such as Power BI, Looker, or similar tools. About FleetPride FleetPride is the nation's largest distributor of truck and trailer parts and service in the independent heavy duty aftermarket. Our network includes retail, service, distribution, and wholesale divisions, all working together to deliver unmatched value to our customers.

Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. Marketing Tech is a critical team at Thumbtack overseeing and optimizing millions of marketing spend and is directly responsible for driving our company’s top line revenue growth. As part of this team, you’d get to work on a wide range of Marketing lanes such as paid (SEM, Social, Streaming Media, etc) as well as organic (SEO, Engagement and Lifecycle Marketing, etc) and have an outsized impact on our broader marketing efforts. Thumbtack is relatively early in the journey of building out a world-class Marketing Tech stack. This role reports to the Embedded Data Engineering team, but works day-to-day with the Marketing Tech engineering team, with a small sub-team of two other Data Engineers. You’ll work collaboratively to develop and build the vision of incorporating data through all aspects of marketing at Thumbtack, designed with our cross--functional team. Thumbtack fosters a very collaborative culture of builders, and as such, you’d help set the data architecture, be hands on in building our datasets and mentor engineers as we go. • Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for marketing, • Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features with a rapidly evolving product line, in partnership with analytics, data science, and machine learning, • Integrate with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout marketing to understand their data needs, and help design datasets with the same engineering rigor as any other software we design, • Drive data quality and best practices across marketing and business areas, • Help build the next generation of marketing data products at Thumbtack, based on real-time data products on top of Apache Kafka, • 8+ years of experience designing, building, and scaling data systems—spanning pipelines, warehouses, and analytical data products that drive measurable business impact., • Proven technical leadership in architecting and evolving complex data ecosystems, including ownership of data models, transformation frameworks, and integrations across multiple data domains; advanced proficiency in SQL and Python., • Deep experience with modern data stacks, including cloud-native warehouses (e.g., BigQuery or Snowflake), orchestration tools (Airflow or equivalent), and transformation frameworks (dbt or similar)., • Strong system design and architecture mindset, able to reason about scalability, cost, and performance trade-offs, and define long-term data strategy., • Exceptional collaboration and influence skills, partnering effectively with Marketing Engineering, Analytics, and Data Science to translate business goals into robust, production-grade data systems., • Strong sense of ownership and accountability, balancing hands-on technical execution with the ability to mentor others, raise standards, and drive organization-wide improvements in data quality and reliability., • For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $249,900 - $323,400., • For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $224,900 - $291,100., • For candidates living in all other US locations, the expected salary range for this role is currently $212,400 - $274,900. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: ___. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at ___. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. ___

ABOUT ROCKET MONEY 🔮 Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 🤝 On Team Intel, our mission is to take complex financial data and provide magical, data- and AI driven experiences to our millions of users. We’re a small but high-impact team where engineers are empowered to be co-owners of every step of the ideation → deployment lifecycle. Because of this structure, engineers on Team Intel must care deeply about our users and combine technical + creative energy to build brilliant products that make their financial lives easier and better. If you are an AI/ML-passionate software engineer, this is an incredible opportunity to be positioned to grow your capabilities in this skill set. IN THIS ROLE, YOU'LL: • Work on a cross-functional team of software engineers, ML engineers, and product managers to implement full-stack, user-facing features at the core of Rocket Money, • Implement AI/LLM/ML tools our ML engineers are building (and if you’re willing, contribute to the building of them yourself!), • Develop with TypeScript across the Node.js, GraphQL, and PostgreSQL stack - mostly shipping backend features, but also at times building user interfaces using React in order to own the full-stack and experiment quickly, • Own complex features end-to-end, from initial product & technical design stages through to production, ensuring the appropriate engineering rigor has been applied for scalability, reliability, and observability, • Help to maintain our high technical bar, participating in code reviews and design discussions to ensure that we're applying appropriate rigor to our software development process, • Support a collaborative and innovative culture by sharing your ideas via RFCs, participating in solution ideation, and giving your peers thoughtful feedback on their code and their proposals ABOUT YOU 🦄 • You have 5+ years of professional experience working with some combination of Node.js/TypeScript, React (or similar framework), and Postgres (or similar relational database)., • Experience with GraphQL is a plus: it’s what we use., • Experience with Python is a plus: it’s what the ML engineers we work with use., • Experience with training/tuning ML/AI models is a plus: software engineers on this team can certainly contribute in this arena., • Experience with ops/infra is a plus: we have a great infra team, but the more we contribute to shipping, the better it is for us., • You are curious/interested in machine learning and the rapidly-evolving world of AI, and are excited about the opportunity to work side-by-side with ML engineers and help ship ML products to users., • You're not just interested in what you're building, but also why you're building it. You have a drive to ship product that deeply matters to users., • You get energized by complex problem spaces with many edge cases. You love distilling ambiguity into tractable todos. Personal finance has a LOT of data-variability - building elegant features that work for everyone is not for the faint of heart!, • You love continual evaluation & improvement and enjoy ideating on how to launch a v1 with a feedback loop as the means of training a brilliant v2. You have the same mentality about yourself and love giving & receiving feedback. WE OFFER 💫 • Health, Dental & Vision Plans, • Life Insurance, • Long/Short Term Disability, • Competitive Pay, • 401k Matching, • Team Member Stock Purchasing Program (TMSPP), • Tuition Reimbursement, • Unlimited PTO, • Daily Lunch, Snacks & Coffee (in-office only), • Commuter benefits (in-office only) Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. We are seeking a Staff Software Engineer, Combinatorial Optimization with a strong background and hands-on experience using the latest technologies in task planning, scheduling, and simulation. You will be working on designing, developing, and deploying software leveraging state‑of‑the‑art decision‑making technologies (SAT/SMT solvers, constraint programming, and more). You will be participating in an end-to-end solution that includes system and infrastructure design, algorithm development, and production deployment. This role will be key to building optimization-powered applications for robotics and manufacturing that improve process efficiency and product quality at Divergent. • Design, develop, and deploy innovative planning algorithms using the latest task planning, scheduling, and simulation techniques., • Determine the system design and deployment architecture for the software pipeline., • Collaborate with cross-functional teams to integrate and optimize planning solutions into products and processes., • Document your work, including code, algorithms, user manuals, and procedures, to support knowledge sharing and future development efforts., • Develop and maintain software development best practices to ensure high-quality code, efficient testing, and timely releases., • Stay updated on advancements in planning algorithms and technologies, and contribute fresh ideas and insights to the team., • Ability to lawfully access information and technology that is subject to US export controls, • Bachelor’s or Master’s in Computer Science (or related) + 5 years of professional software‑engineering experience., • Advanced proficiency in Python and C++ (multithreading, memory management)., • Proven experience with SAT/SMT solving, combinatorial optimization, and constraint programming., • Strong background in task planning and scheduling (PDDL, heuristic/temporal planners, resource‑constrained project scheduling)., • Hands‑on with open‑source planning/scheduling libraries or equivalent., • CI/CD pipeline design, Docker & Kubernetes deployment, automated unit‑testing, debugging, and performance profiling., • Excellent analytical, problem‑solving, written/oral communication, and collaboration skills., • Solid understanding of system design, scalability, and cloud‑native architecture., • Ph.D. (or equivalent research experience) with a strong publication record in task planning, scheduling, or related optimization venues., • Active open‑source contributions to solver/planner projects., • Familiarity with C# and TypeScript., • Domain expertise in robotics or manufacturing workflows., • Experience leading medium‑sized technical initiatives from definition through delivery., • Strong stakeholder communication and conflict‑resolution abilities., • Experience integrating ML/DL models with planning pipelines for hybrid approaches. Pay Range $155,550 - $213,840 USD What We Offer: • Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions., • Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time., • Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind., • Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance., • Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in ___. E-Verify is a program that electronically confirms a candidate’s eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. ___ | ___ Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 6+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal., • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.Nice to have: Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).Please read carefully the restrictions before applying.

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion—and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Data Science Manager As a Data Scientist at Trella, you will: • Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella’s proprietary solutions., • Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data., • Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency., • Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data., • Support modernization by refactoring legacy SAS scripts into Databricks., • Act as a subject matter expert on healthcare data sources, calculations, and methodologies., • Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements., • Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: • 4+ years of experience in data science, preferably within healthcare space., • Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows)., • Experience working with Databricks, including analytics, data modeling, and machine learning workflows., • Understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts., • Experience with statistical modeling including regression, imputation techniques, and risk scoring., • Knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI)., • Excellent problem-solving, time management, and communication skills., • Familiarity with software development tools like Jira, Confluence, and Bitbucket., • A passion for using data to improve healthcare and a love for solving complex problems., • Bachelor's or Master’s degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: • Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems, • Over 150 team members and growing, • Recognized as one of Modern Healthcare’s “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn, • Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion—and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: • Health, Dental, Vision & Voluntary Benefits, • Competitive Salary & Bonus Plans, • 401k Retirement Savings, • Flexible PTO & 10 Paid Holidays, • Flexible Work Hours, • Equity Shares, • Paid Leave Programs, • Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states. We are seeking a highly motivated Data Engineer who will play a key role in the design, development, and optimization of our data platforms and advanced analytics applications. In this technical role, you will collaborate closely with engineering, product, operations, and customer success teams to develop scalable, reliable, and high-performance data platforms and analytics applications, leveraging best practices. Your work will directly power advanced analytics, machine learning, and mission-critical business operations across the organization with significant impact on our customers and patients. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only. • Design, build, and own scalable data platforms that power analytics, machine learning, regulatory reporting, and mission-critical operational systems., • Develop robust ELT workflows, data models, and distributed processing jobs using modern cloud data technologies., • Implement modern data engineering solutions using technologies such as Python, SQL, dbt, Airflow, Snowflake, Tableau, Power BI, AWS data services, containerization (Docker/Kubernetes), and related cloud-native tools., • Leverage best practices to ensure data quality, integrity, lineage, governance, performance, and reliability across all pipelines, data platforms, and analytics applications., • Establish and maintain SLAs, monitoring, and alerting for mission-critical data services with observability design and implementation., • Identify and resolve performance bottlenecks to ensure scalable and cost-efficient data processing., • Other duties as assigned by supervisor or HHAeXchange leader., • Travel up to 10%, including overnight travel, • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field., • 2+ years of combined software and data engineering experience with a strong focus on distributed data processing and data-intensive applications., • 1+ years of experience implementing, and maintaining reporting and analytics tools (e.g., Tableau, Power BI, DOMO), with knowledge of data visualization best practices., • Experience in Python, SQL, query and database optimization, data pipelines, data modeling, and privacy/security best practices., • Experience with cloud platforms (AWS, Azure, or GCP) and modern data warehousing technologies (Snowflake, BigQuery, Redshift, etc.)., • Excellent communication and collaboration skills., • Desired qualification: 1+ year experience in healthcare or homecare technology (EHR, HL7/FHIR) or regulated industries and product development.

Position Overview: We’re looking for a seasoned Senior Full Stack Software Engineer / Architect to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across both product and data domains. In this role, you’ll be expected to take ownership of mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable solutions, guide engineering execution, and ensure best practices across the stack. You should bring a strong software architecture background with deep proficiency in modern web technologies, API design, data modeling, and DevOps. The ideal candidate is a confident technical lead—capable of jumping into ambiguity, navigating legacy systems, and bringing structure to complexity. You’ll not only write high-quality code, but also help shape how we build and scale our platform. You’ll be responsible for: • Designing and building robust GraphQL and REST APIs and scalable backend services that are both internal and external facing, • Taking technical ownership of features across both product and data domains, • Leading projects involving full-stack web development, systems architecture, and data integration, • Developing data pipelines and ETL processes for ingesting, transforming, and delivering structured and semi-structured data, • Building or integrating internal tools and admin interfaces for data stewardship, data quality, and operational workflows, • Supporting data-driven features in existing applications and collaborating closely with stakeholders to embed insights in product experiences, • Designing technical solutions that support large-scale application growth, availability, and maintainability, • Providing technical leadership on complex engineering initiatives spanning multiple teams and systems, • Evaluating and integrating new technologies to solve business and platform challenges, • Working closely with Product and Data stakeholders to translate business requirements into scalable engineering solutions, • Promoting engineering excellence through code quality, performance tuning, testing best practices, and architecture documentation Ideal candidate requirements: Technical Skills • 7+ years of experience as a software engineer with a focus on full-stack and backend development, • Strong expertise in React, TypeScript, and Node.js., • Experience working with modern monorepo setups and modular architectures, • Comfortable building, supporting, and integrating with production-grade ETL/data pipelines, • Experience building data processing and integration logic within custom applications using languages such as Node.js, Python, or SQL, with attention to performance, scalability, and maintainability, • Familiarity with modern data tools and platforms such as AWS Glue, Snowflake, Apache Airflow, Databricks, or similar technologies, • Strong understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes), • Comfortable with test-driven development (TDD) and automated testing frameworks, • Deep understanding of software architecture principles (e.g., SOLID, DDD, DRY), • Experience with both greenfield and legacy systems Business Skills • Technically versatile and capable of leading projects across both application and data-focused initiatives, • Confident in navigating ambiguity and owning delivery from problem framing through execution, • Strong communication skills with an ability to bridge technical and non-technical stakeholders, • Demonstrated experience mentoring engineers and contributing to engineering culture and growth, • Experience in fast-paced startup or scaling environments, • Proactive in identifying architectural and systemic improvements, • Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Skills • Experience building or supporting admin tools and internal platforms, • Experience with data observability, schema governance, or data lineage tooling, • Exposure to machine learning pipelines, business intelligence tools, or product instrumentation, • Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: • Competitive Salary, • 100% Company-Paid Premiums for Employee’s Medical Health, Vision, and Dental Plans, • Short-term and Long-term Disability, • Life Insurance, • 401k Matching, • Work from Anywhere within the US, • Flexible PTO, • 100% Paid Parental Leave, • Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period, • Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity. The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies. A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success. • Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives., • Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years., • Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production., • Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability, • Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity., • Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress., • Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making., • Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact., • Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems., • Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture., • Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives., • Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth., • Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization., • Advocate for intelligence driven solutions across the organization and influence company wide technical priorities., • Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy., • Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence., • Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution., • Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs., • Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership., • Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs., • Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries., • Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned., • For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy., • Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones., • Drive execution on complex projects with significant ambiguity or high cost of failure., • Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models., • Promote a bias toward action, thoughtful experimentation, and continuous learning., • Model excellence in engineering craft, collaboration, accountability, and inclusive behavior., • Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity., • Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners., • 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering., • Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority., • Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence., • Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority., • Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance., • Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels., • Strong coding ability in at least one language commonly used in AI and data systems such as Python, Java, Go, or Scala, with hands on experience building models, data pipelines, or scalable production services., • Experience operating in platform, infrastructure, or internal tooling organizations, including leading or significantly influencing org wide technical initiatives., • Proven ability to navigate ambiguity and competing priorities, drive clarity, and make sound technical and product tradeoffs in partnership with product managers., • Experience collaborating cross functionally with product, design, infrastructure, and legal or privacy stakeholders to deliver AI powered or data intensive products responsibly., • Familiarity with AI assisted development practices in large codebases, along with experience representing engineering externally through talks, blogs, or industry events when applicable. US Zone 1 This role is not available in Zone 1 US Zone 2$256,300—$346,700 USDUS Zone 3$227,800—$308,200 USD

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living ___ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. We’re seeking a Machine Learning Data Scientist to drive the development of next‑generation Large Physiology Models and other foundation models for wearable biosignals that power Oura’s health sensing features. You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets. You’ll partner with cross‑functional teams to translate evidence into shipped features and scientific publications. Your work will improve outcomes for Oura members and advance the state-of-the-art of physiological modeling from real‑world wearable data. This is a remote US role with a preference for candidates based on the East coast. We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do: • Drive foundation models for wearable biosignals, setting standards for reusable representations, tooling, and evaluation adopted across multiple health features., • Design, implement, and validate deep learning approaches for large‑scale physiological time‑series (e.g., PPG, motion, temperature), including self‑supervised and multimodal pretraining; deliver adapters/probes for diverse downstream tasks., • Lead scientific publications from core modeling and validation work that advance understanding of human physiology and support Oura’s mission to improve health., • Build and operate scalable data generation, training, and inference pipelines to improve efficiency and reproducibility., • Lead collaborations with scientists, clinicians, engineers, and product teams to translate research advances into production features that bring value to Oura members. We would love to consider you for this role if you have: • PhD (ideally with industry internship experience), or MSc with 3+ years of industry experience, in machine learning, computer science, statistics, electrical engineering, or a related field; healthcare or health‑tech experience preferred., • Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideally physiological or wearable signals, including foundation‑model and self‑supervised/multimodal approaches., • Advanced proficiency in Python and modern ML frameworks (e.g., PyTorch or Jax), with experience building scalable training and evaluation pipelines., • Strong grounding in probability, statistics, and experimental design; proven ability to design rigorous evaluations and interpret results from large research or clinical datasets., • Excellent scientific writing with a record of first‑author, peer‑reviewed publications in top machine learning and digital health venues., • Collaborative, highly autonomous working style; comfortable operating in an interdisciplinary, globally distributed team and communicating effectively with cross-functional partners., • Flexibility for occasional meetings across European time zones and willingness to travel for onsite meetings a few times per year. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $151,300 - $178,000, • Region 2 $138,550 - $163,000, • Region 3 $127,500 - $150,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Plays a critical role within the Bioinformatics & Data Science Development team with a strong background in cloud engineering and application development. The individual in this role will be proficient in Python, demonstrate sound software engineering principles, and contribute to the design, development, and deployment of scalable cloud-native applications that power Veracyte’s products and services. Key Responsibilities • Design, develop, and maintain cloud-based applications and services using Python and modern frameworks., • Utilize AWS services to build, deploy, and manage scalable applications and data pipelines in the cloud., • Partner with bioinformatics scientists/computational biologists to productionize research workflows., • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions., • Ensure code quality through unit testing, integration testing, and adherence to best practices., • Troubleshoot and resolve complex technical issues and bugs., • Write clean, maintainable, and efficient code, and maintain documentation for code, architecture, and operational procedures., • Implement and optimize CI/CD pipelines for automated testing and deployment., • Participate in code reviews and provide constructive feedback to peers., • Stay current with emerging technologies and industry trends in cloud computing and software development to ensure our solutions remain current and competitive., • Operate within CAP/CLIA- and IVD-regulated environments. Education & Experience • Bachelor’s degree in Computer Science, Engineering, or a related field., • A minimum of 5 years of professional experience in software development. Required Skills & Knowledge • Strong proficiency in Python and familiarity with its ecosystem., • Experience building and operating data processing pipelines in a cloud environment., • Proven experience delivering solutions making use of AWS services like EC2, ECS, AWS Batch, AWS Step Functions., • Understanding of software development best practices, including design patterns, coding standards, version control, testing and documentation., • Familiarity with containerization technologies (e.g. Docker, Kubernetes), RESTful API and microservices architecture., • Experience with Infrastructure as Code (IaC) using AWS CDK, CloudFormation or Terraform., • Experience with CI/CD tools such as AWS CodePipeline and Bitbucket Pipelines., • Knowledge of SQL and NoSQL databases, including data modeling concepts., • Excellent problem-solving skills and the ability to work independently or as part of a team. Preferred Qualifications • Experience working in Agile development environments, including Scrum-based teams., • Familiarity with workflow orchestration languages such as Nextflow or WDL., • Experience working with data lakes and large-scale analytical datasets using AWS services such as Athena and Glue., • Exposure to genomic workflows and tools that are used to produce and operate on sequencing data (FASTQ, BAM, VCF)., • Exposure to bioinformatics and molecular biology concepts is a plus, • Experience in the diagnostics industry is preferred, • Experience with Atlassian suite of tools for productivity., • Exposure to data engineering or machine learning workflows is a plus., • Experience with web development technologies such as Node.js, React, Vue.js, or similar. #LI-Hybrid, or #LI-Remote For candidates based in our San Diego office, the salary (or hourly range is $XX - $XX. For candidates based in our South San Francisco office, the salary or hourly range is $XX - $XX. For candidates working remote (US), the salary or hourly range is $XX - $XX.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options. The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year. We are seeking a highly skilled Software Engineer to play a critical role in evaluating and improving the performance of our autonomous vehicle (AV) technology. This engineer will be responsible for developing and implementing metrics and software tools, primarily using Python, to effectively measure, analyze, and report on the performance of our AV systems. Their work will directly contribute to accelerating the development of safe and reliable autonomous technologies by transforming complex AV data into actionable insights for the organization. What You'll Be Doing: • Design AV Performance Analysis Pipelines: Define, design, and implement key pipelines to extract on-road or simulated events and evaluate autonomous vehicle performance (e.g., lane change capability, oscillation/braking metrics, VRU emergence from occlusion)., • Develop Metrics Software and AI-Powered Tools: Leverage strong Python skills to develop frameworks, AI-powered tools, and systems for calculating, aggregating, and visualizing AV performance metrics from large datasets., • Collaborate Cross-Functionally: Work with systems, software, AI, controls, simulation, and validation teams to understand needs and improve systems like Perception, Prediction, and Planning., • Ensure Data Quality and Validation: Implement rigorous checks and validation processes to ensure the accuracy and integrity of data used for performance evaluation., • Document and Share Knowledge: Create clear documentation for metrics and analysis tools, and share best practices with the engineering team., • Advance Technical Expertise: Proactively evaluate and integrate new technologies and methodologies relevant to autonomous vehicles and software engineering. What We're Looking For: • 5+ years of software engineering experience and a Bachelor's degree in Computer Science or a related field; a Master's degree is a plus., • Expert-level proficiency in Python and a strong understanding of modern software development principles and best practices., • Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation and data analysis., • Proficient with Git and standard version control workflows., • Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts and results to diverse audiences (engineers, product managers, leadership)., • Proven ability to work both independently and effectively as part of a multidisciplinary team., • Strong attention to detail and a commitment to data quality, accuracy, and rigorous testing., • Comfortable working in a fast-paced, agile, continuous integration/continuous delivery (CI/CD) environment. Bonus Points (not required): • Experience working with autonomous vehicle sensor data (e.g., LiDAR, camera, radar)., • Familiarity with simulation environments and data generated from AV simulations., • Experience with data visualization tools (e.g., Looker) for presenting performance metrics., • Knowledge of statistical analysis and machine learning techniques relevant to performance evaluation. Success Metrics: • Successful design and implementation of key autonomous vehicle performance metrics., • Improvement in the efficiency and effectiveness of AV performance evaluation processes., • Timely and accurate delivery of data and insights to AV development teams., • Contribution to the overall advancement and safety of our autonomous vehicle technology. This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. We take pride in having some of the brightest and most dedicated talent in the world on our team. If you're innovative, driven, and eager to tackle challenges, we'd love to have you join us! Physical Demands: While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds. Travel Requirements (greater than 20%): Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business. Working Environment: The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $125,000 - $167,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit ___ and follow us on ___, ___, ___ and ___. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries. Key Responsibilities • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS, • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM, • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels, • Perform large-scale data extraction, transformation, and analysis using SQL, • Implement and operationalize models in cloud environments (Azure preferred), • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions, • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting, • Strong domain experience in CPG, FMCG, retail, or similar industries, • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels), • Strong SQL skills for large-scale data processing Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization., • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)., • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc., • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results., • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.Qualifications:, • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar, • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling, • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP., • Experience using git/github to version control source code, • Experience leveraging transformer architecture to develop NLP models, • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK., • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers, • Experience with GenAI and Prompt Engineering is a plus, • Experience in Databricks and MLFlow is a plus, • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus, • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract, • Experience coordinating and maintaining user stories, • Must be a US citizen Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

The Constructive Dialogue Institute (CDI) is a non-partisan, non-profit dedicated to equipping the next generation of Americans with the skills to communicate and collaborate across lines of difference. We work with U.S. colleges and universities by providing co-curricular programming for students, professional development for faculty and staff, and strategic guidance to leadership. Our goal is to foster constructive dialogue at every level of the institution and to create the conditions for lasting organizational change. CDI was co-founded by psychologist Jonathan Haidt, the bestselling author of The Righteous Mind and The Anxious Generation. CDI is looking for a Senior Data Scientist to own the data foundations that power our analytics, reporting, and research workflows. This is a high-leverage role for someone who wants to do meaningful, systems-level work — building the infrastructure, pipelines, and reporting tools that CDI's team and partners rely on every day. This is not primarily a machine learning, product analytics, or pure research-design role. It sits at the intersection of data infrastructure, reporting systems, and applied evaluation. The right person is a strong hands-on practitioner who takes pride in clean, reproducible, reliable work — and who is excited to grow into new territory alongside the organization. Two major near-term priorities will shape this role from day one: rebuilding and modernizing CDI's analytics and reporting ecosystem, and co-leading evaluation work for our AI dialogue coach. If you're energized by building things that last, working across research, product, and implementation teams, and doing data work that genuinely connects to mission, this role is for you! * Own CDI’s research and analytics data infrastructure, including core data models, schemas, documentation, data quality checks, and analysis-ready datasets. * Build and maintain data pipelines using reproducible ETL/ELT practices, producing standardized, analysis-ready datasets from key sources. * Lead the rebuild and modernization of CDI’s analytics and reporting layer as part of a platform and data transition. * Design, build, and maintain dashboards, recurring reporting, and self-serve tools for both internal teams and partner-facing deliverables. * Establish and steward trusted metric definitions, documentation, and governance practices across reporting and research workflows. * Co-lead the data and evaluation work for our AI dialogue coach, including building the measurement, reporting, and analysis workflows needed to assess learner experience, safety and appropriateness, reliability, and outcomes. * Support quantitative data preparation, analysis, and reproducible code workflows for efficacy and impact studies. * Partner cross-functionally with colleagues on the Research & Evaluation team, as well as those from Implementation, Operations, and Product/Technical teams. * 6+ years of relevant professional experience in data science, analytics engineering, data engineering, or a similarly hybrid role. * Strong hands-on experience with SQL, Python, and R. Experience building and maintaining data pipelines and reproducible workflows that other people rely on. * Experience working in cloud-based data environments, including AWS. Experience designing and maintaining dashboards, recurring reporting, and BI tools for nontechnical users. * Experience using Git and documentation/testing practices to make data work maintainable and reproducible. * Strong judgment about data quality, metric definition, and governance. * Prior experience using AI tools in data science workstreams * Comfort working with messy, ambiguous data problems and translating them into clear deliverables. * Ability to develop practical measurement approaches for new or evolving features, tools, or interventions. * Strong written and verbal communication skills, especially with nontechnical internal collaborators. * Experience working cross-functionally with stakeholders from multiple teams. We also value (but do not require) the following: * Advanced degree in data science, statistics, social science, computer science, or a related field; familiarity with survey data and/or higher education data is a plus. * Experience supporting impact, efficacy, or evaluation work through data preparation and analysis. * Experience in a nonprofit, EdTech, or mission-driven setting; familiarity with bridgebuilding, dialogue, or civic learning is a bonus. * Compensation — $135,000-$145,000 * A Mission-Driven Culture — we practice what we preach, so our work culture is characterized by intellectual humility, continuous improvement, and open-mindedness * Remote-First — CDI was founded as a remote-first organization, and we work hard to maintain a strong team culture across vast distances * Unlimited PTO — as well as 13 company holidays * Remote Work Support — up to $500 reimbursed for home office equipment (like desks, chairs, or webcams) and up to $50/month reimbursed for home internet or cell phone expenses * Other Benefits — employer-supported health, vision and dental plans, subsidized parental leave, 3% 401k match, short- and long-term disability insurance, life and AD&D insurance, $1,000 annual professional development budget * Reports to: Senior Director of Research and Evaluation * Schedule: Full-time, flexible within U.S. time zones * Target start date: ASAP * Location: Remote, must be based in the U.S. Your application has been successfully submitted! 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Location: Remote (EMEA & LATAM) Employment Type: Full-time About the Company: Our client is an innovative AI-driven platform dedicated to enhancing matchmaking experiences. Backed by leading venture capital firms, the company leverages advanced technologies to connect individuals in meaningful ways. Role Overview: We are seeking a Senior Full Stack Engineer to join our client's dynamic team. This role involves designing, developing, and maintaining scalable web applications that deliver exceptional user experiences. The ideal candidate will have a strong background in both frontend and backend development, with a passion for building intuitive and efficient systems. Key Responsibilities: * Develop and implement new full-stack features using TypeScript, Vue.js, and PostgreSQL on the Supabase platform. * Collaborate with cross-functional teams to design and optimize user interfaces with Tailwind CSS. * Analyze and improve existing image and text/LLM models to enhance matchmaking accuracy. * Estimate compatibility between users based on profile images and textual data. * Create and maintain software design documentation, including flowcharts, state-machine diagrams, and data models. * Evaluate and optimize system performance concerning data storage, bandwidth, and computational costs. * Participate in code reviews, ensuring code quality and adherence to best practices. * Mentor junior developers and contribute to their professional growth. Required Qualifications: * Proven experience in developing full-stack web applications, particularly SPAs connected to backend services. * Proficiency in TypeScript, Vue.js, and PostgreSQL. * Experience with RESTful or GraphQL APIs. * Strong understanding of UI/UX principles and the ability to design user-friendly interfaces. * Familiarity with software engineering diagramming techniques and tools like Figma. * Knowledge of web application security best practices. * Experience with version control systems, especially Git. * Solid understanding of data structures, algorithms, and complexity analysis. * Adaptability to evolving technologies and a commitment to continuous learning. Preferred Qualifications: * Experience with Supabase and Tailwind CSS. * Background in AI/ML model development and analysis. * Familiarity with human-factors engineering best practices. Benefits: * Competitive salary paid in USD. * A fully remote work environment with flexible hours. * Opportunity to work on cutting-edge AI solutions in a high-growth market. * Collaborative and innovative team culture.

Sleeper is a sports-focused games platform with messaging at its core. We are a young and energetic company, fueled by a passion for sports and a drive for innovation. Our mission is to create a digital playground for sports fans and their friends to hang out. We bring people together over sports. At Sleeper, we’re building the most engaging and trusted fantasy sports experience in the world, This role sits right at the intersection of growth, product, and platform integrity. As a Data Scientist focused on Risk and User Experience, you’ll shape how millions of users onboard, interact, and transact on our platform. You’ll go beyond dashboards, designing the systems that help us understand player behavior in real time, detect fraud before it happens, and create seamless experiences that don’t get in the user’s way. From instrumenting event-level data to building models that identify suspicious activity, your work will directly influence how we scale safely and intelligently. This is a highly cross-functional role where you’ll partner closely with product, engineering, and operations to turn data into action. You’ll help define what “good” looks like across the user journey, build the infrastructure to measure it, and continuously refine our systems as the landscape evolves. If you’re excited about solving complex, high-impact problems in a fast-moving environment, this is your chance to build from the ground up and make a meaningful impact on a rapidly growing gaming platform. * Driving Growth and User Experience * Collaborate with product leaders to optimize our onboarding funnel to identify friction and areas for improvement * Build scalable analytics systems for continuous evaluation of user journeys and defining key metrics * Building Data Foundation * Partner with engineering to implement real-time event tracking (Firebase, Amplitude etc) * Define schemas and instrumentation for user activity (account creation, sessions, device/IP data etc) * Develop Risk/Integrity Insights * Collaborate on systems that balance user friction with platform integrity * Build analytical frameworks to surface signals that inform adaptive user flows (dynamic verification requirements etc) * Establish prevalence measurement methodologies to quantify fraudulent activities on the platform * Partner with our operations teams to triage and mitigate any ongoing threats to the platform * Advanced Analytics * Classify transaction risk (payment method, account-level signals) * Apply clustering, anomaly detection etc to large scale behavioral data * Continuously evaluate implemented systems and iterate based on shifting market trends * 4+ years of industry experience in data science, economics, analytics, or machine learning engineering * Advanced Degree in computer science, statistics, or a related field * Proficiency in scripting languages (Python, R, or similar) and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow * Experience building or working with event-based analytics systems * Familiarity with machine learning methods for classification, clustering, or anomaly detection * Ability to work cross-functionally with engineering and product * Experience working in Fraud/Risk/Trust & Safety teams * Experience developing internal tooling for analytics, operations, or user lifecycle workflows (e.g., onboarding, review systems, or risk signals), using platforms like Retool, Appsmith, or comparable frameworks * Experience working in real money gaming or other high-velocity transaction environments. * Comfortable writing light JavaScript in data/UI workflows * Competitive salary, equity * Comprehensive medical, dental, and vision insurance * 401(k) * Flexible working hours and remote work options * Opportunities for career advancement * Unlimited PTO Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. Competitive salary range of $130,000 to $175,000, plus benefits including Medical, Dental, PTO, 401k. Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to ___.

Department: Data Science Reports to: Head of Data Science Location: Remote within Continental US Applications will be open through February 2026, with an anticipated start date in March 2026. Funga is a public benefit corporation harnessing forest fungal networks to address the climate crisis. We combine modern DNA sequencing and machine learning technology with breakthrough research on the forest microbiome to put the right native, biodiverse communities of mycorrhizal fungi in the right place. This leads to more quality wood created more quickly, more carbon sequestered, and more resilient forests. We serve land partners seeking to implement regenerative forestry practices that improve productivity and sustainability, and corporate carbon buyers building high-quality carbon removal portfolios with strong social and biodiversity outcomes. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050. If you are excited by starting new things, learning as you go, and being hands-on in applying your work to the private sector, you will dig working with us. We encourage you to apply even if only some of the below criteria are met—just make sure to tell us why you’re excited about Funga! At Funga, we leverage cutting-edge data pipelines to manage large-scale ecological, genomic, and geospatial datasets. We are looking for a Data Infrastructure Engineer to help us build scalable data solutions, streamline data ingestion, and maintain high-quality databases that support our scientific and operational teams. This role will be instrumental in optimizing our data infrastructure, ensuring efficient data access, and supporting the broader team in making data-driven decisions. We are building a lean, high-performance, low-overhead stack built on open-source foundations. You will be the primary architect of how Funga stores, moves, and accesses its data. This is a role for a builder who prefers simple, robust, accessible systems that are tailored to the teams who rely on them. This is a rare opportunity to have total technical ownership over the data systems that will scale our impact globally. • Architect Core Systems & Cloud, • Own the Stack: Architect and maintain our central storage (PostgreSQL/PostGIS, SQLite) and cloud environment (AWS/GCP), leveraging ECS, Lambda, and S3., • Modern DevOps: Standardize environments using Docker, CI/CD pipelines, and Infrastructure as Code to automate the testing and deployment of data services., • Scale for Performance: Optimize data models and database performance management for extensibility as our genomic and geospatial inputs scale., • Manage the Data Lifecycle, • Build Lean Ingest: Design and automate scalable ELT/ETL pipelines for genomic, geospatial, and tabular data from sources like Survey123, ArcGIS, and Asana., • QA/QC at Scale: Build automated validation pipelines to ensure data integrity and version control from the moment it hits our system., • Enable the Mission, • Internal Enablement: Support scientists and operational teams by designing the data models that power internal modeling workflows, dashboards, and reporting., • System Connectivity: Develop lightweight APIs and connectors to sync data between our core infrastructure and downstream applications (e.g. Asana, ArcGIS, and internal dashboards)., • 4+ years of experience in Data or Backend Engineering, with a track record of building production data systems from the ground up., • Database expertise: Deep SQL proficiency. You understand indexing, partitioning, and optimizing Postgres for high performance., • Cloud Infrastructure: Significant experience building, managing, and optimizing data services within AWS or GCP (e.g. ECS, Lambda, RDS) with a focus on cost-effective, maintainable architecture., • Modern DevOps & Python: Proficiency in production-grade Python and modern DevOps practices, including containerization (Docker), CI/CD pipelines, and infrastructure monitoring., • Data fluency: Experience handling large-scale Parquet, Avro, binary, or simliar data types. Familiarity with geospatial data types and tools (PostGIS, GDAL) is a plus., • Product mindset: You treat internal teams as your customers. You are driven to build solutions that serve and accelerate internal teams' work., • Pragmatic: You prefer simple, mature, composable tools over heavy, managed platforms, and you have a bias for creating value now versus perfection later., • NOTE - please apply if you feel you are qualified, but don't necessarily meet all of the above criteria!, • Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges—climate change., • Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability., • Career growth: Be part of a pioneering company with opportunities for professional development and leadership., • Comprehensive Benefits: Participate in healthcare benefits and employee equity programs. The expected salary range for this role is $120,000 - $150,000, with actual salary based on qualifications and experience. Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!

Join us at Sparksoft, where we're not just another tech company—we're a catalyst for change. Our mission isn't just to offer IT solutions; it's to revolutionize the way you work. Here, passion isn't just a buzzword; it's the fuel behind groundbreaking ideas and transformative technologies. We serve a wide range of government clients, delivering impact that's felt across the nation. Our true strength lies in our people. They're the problem-solvers and innovators consistently delivering extraordinary outcomes. With Sparksoft, you're not stepping into a routine job; you're joining a team committed to innovation and excellence. Our innovation extends beyond just delivering projects. Through our specialized Innovation Centers, we continuously refine our methods, ensuring we remain industry leaders. We are Sparksoft! ROLE & RESPONSIBILITIES: The Data Scientist will ensure continuous improvement of the program’s data quality through solutions and strategies to address business challenges. This role involves working closely with data operations and reporting teams to design, develop, and execute automated data reporting solutions with the highest standards of quality and performance. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively in a SAFe Agile environment. The Data Scientist will play a critical role in improving the quality and accessibility of data solutions to support the Centers for Medicare & Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse within government-sponsored health programs. Key Responsibilities: • Collaborate with product owners, customers, team members, and leaders to shape data-driven strategies., • Develop solutions and strategies to address business challenges., • Research and devise innovative statistical models for data analysis., • Automate repetitive reports and deliveries, • Apply statistical methods, machine learning, and artificial intelligence tools to detect anomalies and trends to make informed decisions., • Run data pilot analysis, comparative performance analysis., • Streamline performance and data quality analysis on various data sources., • Develop and deploy machine learning models into production environment by collaborating with other engineers and developers., • Monitoring model performance, refine/update models algorithms as needed., • Collaborate with internal teams and developers to design, develop, automate and maintain data analytics reports and dashboards., • Provide support in ad-hoc analysis to meet customer needs., • Present insights and findings to business owners, customers, and leadership., • Able to effectively transfer knowledge and train team members in the processes., • Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges., • Continuously improve testing processes, tools, and techniques to enhance the efficiency and effectiveness of the testing efforts. REQUIRED EXPERIENCE: • 5+ years of experience as a Data Scientist or similar role., • Experience with data analytics tools (SQL, R, Python) and data visualization tools (like Tableau, PowerBI, AWS Quicksight)., • Experience designing, training, validating, and deploying machine learning models and algorithms., • Experience with cloud computing tools such as AWS, Azure, and GCP., • Experience with the version control systems (GitHub), • Knowledge of databases (PostgreSQL, Oracle) and data modeling., • Experience with agile methodologies (SAFe, Scrum) and tools (Jira, Confluence)., • Excellent communication skills and ability to work collaboratively in a team environment., • Strong analytical and problem-solving skills and a proactive approach to identifying and addressing issues., • Ability to work effectively in a fast-paced, agile environment and deadline-driven environment., • Proven track record of innovation and continuous improvement., • Must be able to obtain and maintain a Public Trust clearance., • Must have lived in the United States 3 out of the past 5 years. PREFERRED EXPERIENCE: • SAFe Agile Certification, • Assess/evaluate to deliver timely data analysis, and data solutions against client requirements., • Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication., • Ability to manage multiple clients and projects/tasks simultaneously., • Experience in healthcare IT and understanding of regulatory requirements such as HIPAA., • Experience and/or knowledge of CMS processes and standards. EDUCATION & CERTIFICATIONS: • Bachelor’s degree or higher in Computer Science, Information Technology, Math, Data Science, or related field. WHAT WE OFFER: At Sparksoft, we know that people do their best work when they feel supported, inspired, and connected. That’s why we’ve built a workplace that balances comprehensive benefits with a culture of collaboration and innovation. From flexible time off to professional growth opportunities, we’re committed to helping you thrive both inside and outside of work. When you join Sparksoft, you’ll enjoy: • Competitive compensation and a 401(k) with employer contributions to help you plan for the future, • Flexible paid time off and hybrid ways of working that support true work-life balance, • Comprehensive health coverage—including medical, dental, vision, life, and disability insurance, • A curated in-office experience designed to foster community, team connections, and innovation, • Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events, • Training and development programs that build new skills and prepare you for leadership roles, • A collaborative, transparent, and fun culture—recognized as a Great Place to Work® Accessibility and Accommodations: Sparksoft Corporation is committed to providing equal employment opportunities to all individuals. If you require accommodations during the application or interview process, please contact us at or call 410-424-7700. Requests are reviewed and fulfilled on a case-by-case basis. Security Notice: Your privacy and data security are important to us. Sparksoft Corporation will never request sensitive personal information via email. If you receive any suspicious communication claiming to be from Sparksoft, please report it immediately to our security team at . Artificial Intelligence (AI) Policy: While Sparksoft recognizes the value of artificial intelligence in the workplace, our hiring process is designed to assess each candidate’s individual skills, judgment, and problem-solving abilities. To maintain the integrity of this process, the use of AI tools at any stage of the application or interview is strictly prohibited. Violations of this policy may result in disqualification from consideration.

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About TendoMake an impact—join our team! We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment., • Develop custom data models and algorithms to apply to data sets., • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes., • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows., • Develop analytic data sets and use statistical software to analyze data sets as requested., • Use third party software tools in the development of queries and visualizations., • Coordinate with different functional teams to implement models and monitor outcomes., • Bachelor’s degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience., • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines., • 7+ years of experience in data analysis software, with data science experience preferred., • 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling., • Track record of applying AI or ML models to solve practical, real-world problems—ideally in healthcare or similar complex domains., • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc., • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning., • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc., • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows., • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering., • Strong problem-solving skills with an emphasis on data analytics., • Excellent written and verbal communication skills for coordinating across teams., • Experience in the healthcare setting preferred., • Experience with Epic EMR data preferred, but not required.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • Understand diverse data sources, both structured and unstructured., • 9+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering.

Ideal start timeline: ASAP Role status: Exempt Compensation: Our target hiring range is $175,000-$215,000 plus participation in our Annual Bonus Program with eligibility for $12,000 bonus. Actual compensation will be commensurate with experience and skills. Campminder’s Flexible Working Location: Our employees have the option to work 100% remotely within the United States or their choice of days at home and at our office in Boulder, Colorado. We host a variety of all-company hybrid meetings and social events. We require anybody working remotely to have a very reliable, high-speed internet connection. We know the best people can choose to work anywhere. Here’s a few reasons why 85+ of them choose Campminder: • With 20+ years experience of serving the industry through its digital transformation, we’re stable, profitable, and have developed a loyal customer base (that continues to grow)., • We build software for summer camps, an industry that enables meaningful experiences for kids., • We work on interesting, ambitious projects that create real value for our clients., • We know our team members feel their work has an impact on the organization’s purpose., • At the same time, we are genuinely committed to work/life balance. Our team members feel they have the flexibility to take time off when needed and feel supported in making use of flexible working arrangements., • We invest in emerging technology and cutting-edge leadership and are proud to take an "AI-Enabled" approach in our solutions., • We’ve been listed on Outside Magazine’s 50 Best Places to Work for 8 consecutive years for our values-led culture and employee experience. This role’s mission & overview: We are looking for a Senior Data Engineer to join our Data team to execute the implementation of a new data architecture. This person will play a primary role in building the systems that power our core product and AI features. They will focus on turning architectural designs into resilient, production-ready infrastructure while ensuring high standards for data modeling and operational durability. As a Senior Data Engineer on our Data team, you will: • Implement the core components of our data platform, including data modeling, pipelines, and retrieval-ready storage layers., • Build operationally excellent systems, incorporating automated testing, deep observability, and robust failure handling., • Model complex business domains by defining clear entities, event histories, and reusable datasets that reflect real-world logic., • Develop the data foundations for AI features, focusing on structured metadata, governance, and high-fidelity source data., • Partner with the Data team to translate technical strategies into executable plans and production code., • Maintain the long-term health of our platform through idempotent backfill patterns and managed schema evolution. We think a successful candidate will bring: • Experience building and shipping production-grade data systems in cloud environments., • Passion for doing rapid experimentation to build customer-facing features on robust data systems., • Deep expertise in data modeling for complex domains, prioritizing accuracy and reusability., • Proven ability to build durable systems that handle backfills, schema changes, and distributed failures gracefully., • Pragmatic experience preparing data for machine learning workflows, including retrieval-optimized structures., • Strong commitment to engineering fundamentals like testing, documentation, and infrastructure-as-code., • A track record of taking technical designs and owning the execution through to deployment., • Deep experience with cloud data platforms and the technical judgment to choose the right storage or processing pattern for the task. Our Interview Process: • 45 min - interview with People & Culture, • 60 min - interview with Hiring Manager, • Phase 3, • 60 min - coding interview with Engineering team members, • 60 min - architecture interview with Engineering team members, • 30 min - interview with CTO A few of the benefits we are proud to offer: • Robust medical, dental, and vision coverage options with generous employer contributions, plus a $500 employer HSA contribution for HSA-compatible plans, • Ability to choose where you work - remotely, in the office, or a mix!, • A variety of resources to support mental health and emotional well-being, • 12 weeks of 100% paid parental leave for all new parents, including via adoption, surrogacy, and foster care, • 401(k) with 4% company matching, • Trust-Based (flexible) PTO (and yes, we use it!), • $900/year wellness allowance, • Company-paid subscriptions, training, and support for using AI professionally and personally. We have a team dedicated to enabling our AI capabilities for our team members and our customers! We encourage people of all backgrounds to apply: We're actively taking steps to make sure our culture is inclusive and that our processes and practices promote equity for all, including people of color, people from working-class backgrounds, women, and members of the LGBTQ+ community. We welcome and encourage applications from people with these identities or members of other historically marginalized groups. Research shows that women and people of color tend not to apply to jobs unless they believe they are 100% qualified and apply to fewer senior-level positions. With that in mind, we encourage you to apply if you're not sure whether you meet our qualifications. We'd love to have the opportunity to consider you! We encourage applications from parents, parents-to-be, and those responsible for the caretaking of others. We offer paid parental leave for birthing and non-birthing parents (including for adoption, surrogacy, and foster care placement) and paid loss leave to recover from miscarriage or stillbirth. The company's HSA and wellness allowance contributions may be used toward childcare, eldercare, adoption fees, and fertility treatments like IVF, among other expenses.

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are looking for someone who can help us push both the research quality and production quality of our ML systems forward. We are hiring a Machine Learning Engineer Intern for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $30/hour. This role sits at the intersection of ML research, software engineering, and MLOps. You will work on problems related to retrieval, context construction, model/tool orchestration, evaluation, monitoring, and the productionization of AI systems. This is a strong fit for someone who can move from experiments to production code and who wants to work on real product problems instead of isolated notebooks. What you’ll work on • Design and run experiments across areas such as retrieval, ranking, context construction, tool use, grounded generation, model evaluation, anomaly detection, forecasting, or optimization workflows, • Improve the quality, reliability, latency, and observability of ML and LLM-driven features, • Build reproducible evaluation workflows for model behavior, answer quality, grounding, failure analysis, and regression testing, • Help productionize research work through pipelines, APIs, services, monitoring, versioning, and deployment workflows, • Improve MLOps practices around experiment tracking, prompt/model versioning, dataset versioning, testing, rollout safety, and post-deployment monitoring, • At least one meaningful ML or LLM system is measurably improved in quality, reliability, or latency, • Research work is backed by reproducible evaluation and monitoring rather than one-off experimentation, • 3–4 years of relevant experience preferred through research labs, internships, startups, open-source work, or production ML systems, • Strong software engineering ability and strong comfort writing production-quality code, • Strong Python skills preferred, • Experience with machine learning experimentation, evaluation, and debugging preferred, • Experience with LLMs, retrieval systems, vector search, ranking, prompt/tool workflows, or agent-style systems preferred, • Experience with MLOps practices such as experiment tracking, versioning, model testing, deployment, and monitoring preferred, • Comfort with statistics, error analysis, benchmarking, and translating ambiguous research ideas into shippable systems, • Experience with PyTorch, Transformers, or modern ML tooling, • Experience with vector databases, RAG systems, or evaluation harnesses, • Experience with time-series forecasting, causal analysis, anomaly detection, or optimization systems, • Experience with Docker, Kubernetes, cloud infrastructure, or batch/orchestration systems We welcome applicants from all backgrounds and evaluate candidates based on technical depth, execution, communication, and fit for the role.

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a customer-facing Data Scientist/AI Trainer to join our Professional Services team, focusing on advanced Conversational AI implementations. The ideal candidate will possess a strong background in Natural Language Processing, Python development, and a deep understanding of modern AI technologies. In this role, you will be responsible for designing, building, and optimizing Five9’s AI-based solutions. You will work closely with Developers and Conversation Designers, leveraging your expertise in Speech-to-Text (STT), Text-to-Speech (TTS), and Large Language Model (LLM) prompting and evaluations to ensure the highest levels of accuracy and performance in our intelligent virtual agents and agent-guided solutions. Responsibilities: • Develop and maintain Python code for data analysis, model evaluation, and the automation of AI workflows., • Design, implement, and evaluate sophisticated prompts for Large Language Models (LLMs) to optimize performance across various conversational tasks., • Integrate and fine-tune Speech-to-Text (STT) and Text-to-Speech (TTS) models to ensure high-quality, natural-sounding voice interactions., • Implement and improve robust methods to quantitatively and qualitatively compare and evaluate LLM outputs., • Collaborate with Data Scientists and Engineers to identify technical requirements, prioritize tasks, and architect scalable AI solutions., • Create and curate multilingual speech and text datasets to train and benchmark models., • Evaluate, recommend, and implement machine learning models for tasks such as topic modeling, summarization, and intent classification., • Develop data visualization tools and dashboards to monitor model performance and provide insights to stakeholders. Minimum Qualifications: • Master’s degree in Human-Computer Interaction, Computer Science, Cognitive Science, Linguistics, or a similar technical field., • Proven experience in Python programming for data science, machine learning, or software development., • Solid understanding of Conversational AI concepts and the underlying technologies., • Strong attention to detail and a commitment to maintaining high-quality standards in code and model performance., • Demonstrated ability to work independently and as part of a collaborative, customer-facing team., • Excellent technical communication skills., • Fluent in English, both written and spoken. Preferred Qualifications • Graduate degree or higher in Computer Science, Computational Linguistics, or a related field., • Fluency in Spanish and/or Portuguese., • Deep hands-on experience with LLMs, including prompt engineering, fine-tuning, and evaluation techniques., • Expertise in Speech-to-Text (STT) and Text-to-Speech (TTS) technologies and their practical application in conversational AI systems., • Proficiency with ML libraries and platforms such as Scikit-learn, TensorFlow, PyTorch, R, Jupyter, and SQL., • Experience in a customer-facing role, including technical requirement gathering and presentations., • Experience with bot frameworks such as IBM Watson, Amazon Lex, Rasa, or Google Dialogflow. Work Location: This role is fully remote for candidates who reside outside the 50 mile radius of our San Ramon office. For candidates who reside within 50 miles of our San Ramon location, this role is Hybrid and would require 3 days a week (M, W, TH) in our San Ramon office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching., • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents., • Generous employee stock purchase plan., • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $60,000—$150,000 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: ___. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.